2)Validated the Feasibility of Morphology-Based BRAF Mutation Status Prediction with State-of-the-Art Performance: Through extensive experimentation and cross-validation on the public TCGA dataset—and further testing on an independent set from the University Hospital Essen—we highlight the viability of morphology-based BRAF mutation status prediction in melanoma, achieving state-of-the-art results in image-only classification. Here, BRAF is linked to melanoma.